Softwr

Database & Data Management · head to head

DynamoDB vs Azure SQL

DynamoDB logo

DynamoDB

Database & Data Management

Fast, flexible NoSQL database service for any scale

From
On request
Rated
-
Azure SQL logo

Azure SQL

Database & Data Management

Intelligent, scalable cloud database service from Microsoft

From
Free
Rated
-

The short version

  • Only Azure SQL has a free tier, so it costs nothing to try first.
  • Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
  • They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Azure SQL covers Intelligent Performance.

Where they differ

Only the attributes on which DynamoDB and Azure SQL actually diverge.

Attributes where DynamoDB and Azure SQL differ
AttributeDynamoDBAzure SQL
Starting priceOn requestFree
Pricing modelusage-basedUnknown
Free tierNoYes
PlatformsAWSCloud (Microsoft Azure)
Founded20061975

Identical on both: user rating (Not yet rated), category (Database & Data Management).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DynamoDB

  • Single-digit Millisecond Latency
  • Serverless
  • Auto-scaling
  • Global Tables
  • Point-in-time Recovery
  • Encryption
  • Streams
  • Lambda

Only in Azure SQL

  • Intelligent Performance
  • Advanced Security
  • Hyperscale
  • Serverless Compute
  • Geo-replication
  • Automatic Tuning
  • Built-in AI
  • Power BI

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

DynamoDB

  • High-scale, variable-workload applicationsnot Azure SQL
  • Mobile and IoT device backendsnot Azure SQL
  • Real-time analytics and dashboardsnot Azure SQL
  • Multi-region, globally distributed applicationsnot Azure SQL

Azure SQL

  • Transaction processingnot DynamoDB
  • Data storagenot DynamoDB
  • Application backendnot DynamoDB
  • Reportingnot DynamoDB
  • Data analyticsnot DynamoDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DynamoDB

  • NoSQL-only; does not support complex relational queries or SQL joins
  • Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries

Azure SQL

  • Ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
  • Managed service reduces control over database configuration and optimization tuning
  • Pricing complexity with consumption-based model can be unpredictable at scale
  • Less operational depth compared to Amazon RDS for advanced scaling scenarios
  • Azure PostgreSQL is less compelling than dedicated PostgreSQL providers outside Azure ecosystem

Pricing, plan by plan

DynamoDB

On request

No published plan breakdown. See the DynamoDB review.

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Which should you pick?

Choose DynamoDB if

  • You need single-digit millisecond latency.
  • You work on AWS.
  • You also want serverless.

Choose Azure SQL if

  • You need intelligent performance.
  • You want to start without paying.
  • You work on Cloud (Microsoft Azure).
  • You also want advanced security.

Questions people ask

Is DynamoDB or Azure SQL better?
Neither clearly leads. DynamoDB starts at On request and Azure SQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Azure SQL?
Azure SQL has a free tier; the other does not. Paid plans start at On request for DynamoDB and Free for Azure SQL.
Does DynamoDB or Azure SQL run on more platforms?
DynamoDB runs on AWS. Azure SQL runs on Cloud (Microsoft Azure).
Can I use Azure SQL for free?
Yes. Azure SQL has a free tier, so you can try it without paying. DynamoDB starts at On request.
What is DynamoDB best used for?
DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Azure SQL is typically brought in for.
What can DynamoDB do that Azure SQL cannot?
DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Both handle Web support.

Answered from the vendors’ own pages

Azure SQL: Does Azure SQL Database offer a free tier?

Yes, Azure SQL Database includes a permanent free tier that provides 100,000 vCore seconds, 32 GB of data storage, and 32 GB of backup storage per month. This free tier is available for the lifetime of any Azure subscription with no expiration.

Source
Azure SQL: What pricing models does Azure SQL Database support?

Azure SQL Database offers consumption-based pricing where you pay for resources used, with no long-term commitments required. Database Savings Plans launched in March 2026 allow committing to a fixed hourly amount and save up to 35% across Azure database services.

Source
Azure SQL: Is Azure SQL Database compatible with on-premises SQL Server?

Yes, Azure SQL Database shares the same Database Engine as on-premises SQL Server. Existing databases maintain their compatibility level and continue to work after upgrades. Azure SQL Managed Instance provides even broader SQL Server compatibility dating back to SQL Server 2008.

Source
Azure SQL: What high availability features does Azure SQL Database provide?

Azure SQL Database provides automatic backups, geo-replication for disaster recovery, failover groups for automatic failover, and zone redundancy for enhanced availability. The service maintains a 99.99% availability SLA for Business Critical tier.

Source
Azure SQL: Can I use AI features with Azure SQL Database?

Yes, Azure SQL Database includes Copilot for database tasks, Intelligent Applications support, REST API endpoints for building applications, and GraphQL endpoints for modern app development.

Source

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